How AI Agents, LLMs & APIs Use Real-Time Data at the US Open

By IBM Technology

Community Score: 50% | 5.8K views | 3w

0 community ratings: null thumbs up, null thumbs down

Learn more about Serve Quality here → https://ibm.biz/~nrYtWf9BC AI is analyzing tennis serves at the US Open. Aaron Baughman explains how APIs give AI agents specialized, real-time data to reason over. Learn how APIs, tools, and LLMs turn complex tennis data into useful answers. 00:00 – See How AI Analyzes a US Open Serve 01:08 – Understand Why LLMs Need Real-Time Data 02:38 – Turn Tennis Video & Match Stats Into AI Context 04:30 – Process 1 Billion US Open Data Points 06:08 – Turn Complex Data Into LLM-Ready Insights 07:02 – Connect AI Agents to APIs & Tools 07:43 – Build the AI Agent Tool-Calling Loop 09:00 – Apply the AI Agent + API Pattern Anywhere AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~SAePe8hrL AI was used in the creation of the transcript and metadata for this video. #ai #api #usopen #llm #realtimedata --------------------------------------------------------------------------------------------------------- F

Tags: IBM

More from IBM Technology

  • Cybersecurity Architecture: Five Principles to Follow (and One to Avoid) — Score: 50%
  • What is Multimodal RAG? Unlocking LLMs with Vector Databases — Score: 50%
  • AI Privilege Escalation: Agentic Identity & Prompt Injection Risks — Score: 50%
  • Better Instructions, Better AI Results — Score: 50%
  • Copilot usage reveals AI adoption patterns — Score: 50%
  • Claude Opus 4.6 Security Risks — Score: 50%